AI Content Optimizer — Help & Documentation
Use AI to analyze and optimize your content for SEO, readability, and engagement. Bring your own Anthropic or OpenAI API key — your key is never stored server-side.
AI-Powered Features
- Content quality scoring
- Readability analysis and improvement suggestions
- SEO keyword optimization suggestions
- Semantic keyword recommendations
- Content structure optimization
- Tone and style analysis
- Featured snippet optimization tips
How AI Analysis Works
Content Ingestion — paste your content or provide a URL to analyze.
AI Processing — your content is sent to the LLM (Anthropic or OpenAI) via your API key.
Multi-factor Scoring — evaluates SEO, readability, and engagement dimensions.
Intelligent Suggestions — get specific, actionable recommendations.
Optimization Roadmap — prioritized list of improvements to implement.
Analysis Dimensions
SEO Optimization
- Keyword density and distribution
- Semantic keyword opportunities
- Title and heading optimization
- Meta description suggestions
- Internal linking opportunities
Content Quality
- Readability score (Flesch-Kincaid)
- Sentence structure analysis
- Vocabulary complexity
- Content completeness
- Topic coverage depth
User Engagement
- Emotional tone analysis
- Call-to-action effectiveness
- Content flow and structure
- Engagement trigger identification
- Social sharing potential
Technical SEO
- Content length optimization
- Paragraph and sentence length
- Image and media recommendations
- Schema markup suggestions
- Featured snippet optimization
AI Recommendation Types
Quick Wins
High-impact, easy-to-implement changes
Moderate Changes
Content restructuring and enhancement
Strategic Improvements
Long-term content strategy enhancements
Best Practices for AI Optimization
Advanced Features
Content Expansion Suggestions: The AI identifies topics and subtopics that could enhance your content's comprehensiveness and authority in your niche.
A/B Testing: Test AI suggestions against your original content to measure real-world impact before committing to changes.
Regular Updates: Re-analyze content quarterly as search trends and AI guidance evolve.